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ObjectiveTo establish a qualitative and quantitative analysis method for chemical constituents in Liu Junzitang（LJZT）， and to clarify its material basis. MethodThe chemical constituents in LJZT were analyzed by ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， and the resulting compounds were identified by using databases， such as MassBank， PubChem， ChemSpider， Traditional Chinese Medicine Systems Pharmacology Database and Analytical Platform（TCMSP）， and by combining with relevant literature. UPLC was used to establish a quantitative method for analysis of 9 compounds in LJZT， including liquiritin， hesperidin， lobetyolin， liquiritigenin， glycyrrhizic acid， nobiletin， tangeretin， atractylenolide Ⅱ and Ⅰ. ResultBy combining the relevant literature， database and MS information， a total of 79 compounds were identified from LJZT， including 31 flavonoids， 15 terpenoids， 14 nitrogen-containing compounds， 6 phenylpropanoids， 6 organic acids and 7 other compounds. The established quantitative analytical method for the nine representative components showed good linearity within their respective linear ranges， and the precision， stability， reproducibility and recovery were in accordance with the requirements. The quantitative results showed that the contents of liquiritin， hesperidin， lobetyolin， liquiritigenin， glycyrrhizic acid， nobiletin， tangeretin， atractylenolide Ⅱ and Ⅰ in LJZT were 0.376 5， 2.602 1， 0.082 6， 0.128 1， 1.778 6， 0.015 7， 0.006 7， 0.030 4， 0.003 2 mg·g-1， respectively. ConclusionThe established method can quickly， sensitively and accurately analyze the chemical constituents in LJZT， clarify that the material basis of LJZT is mainly flavonoids， terpenoids and nitrogen-containing compounds， and simultaneously determine the contents of the 9 components， which can lay a foundation for the research on quality control， mechanism and clinical application of LJZT.
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ObjectiveUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS） was used to identify the metabolites of harmine in rats， in order to explore the differences in distribution of metabolites in rats after single dose（40 mg·kg-1） intragastric administration of harmine， as well to speculate the metabolic pathways. MethodSD rats were given a single dose of harmine by intragastric administration. Plasma， bile， urine and feces samples were collected after administration， and the samples were processed for determination by UPLC-Q-TOF-MS. The separation was performed on an ACQUITY UPLC™ HSS T3 columu（2.1 mm×100 mm， 1.8 μm） with acetonitrile（A）-0.1% formic acid aqueous solution（B） as mobile phase for gradient elution（0-2 min， 5%A； 2-9 min， 5%-35%A； 9-9.5 min， 35%-100%A； 9.5-12 min， 100%A； 12-12.5 min， 100%-5%A； 12.5-14 min， 5%A）， the mass spectra were obtained in positive ion mode with electrospray ionization（ESI）， the scanning range was m/z 50-1 200. The metabolites of harmine were identified based on the information of the obtained compounds and the literature data， and the metabolic pathways were hypothesized. ResultA total of 42 compounds（harmine and its metabolites） were identified in rats， including 27 in plasma， 17 in bile， 26 in urine and 13 in feces. The metabolic pathways involved in these 42 metabolites included monohydroxylation， dihydroxylation， demethylation， glucuronidation and sulfation. ConclusionHarmine can undergo phase Ⅰ and phase Ⅱ metabolic reactions in rats， and the prototype drug is metabolized rapidly in vivo， and the metabolites are mainly excreted by the kidneys， which can provide a reference basis for the pharmacodynamics and material basis of harmine.
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ObjectiveTo investigate the brain absorption components of Tianyuan Zhitong prescription and their distribution based on ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， desorption electrospray ionization mass spectrometry imaging（DESI-MSI） and hyperspectral imaging techniques. MethodTen BALB/c mice were randomly divided into blank group（n=3） and administration group（n=7）， the administration group was gavaged with 0.3 mL of Tianyuan Zhitong prescription liquid at a concentration of about 5 g·mL-1 of the raw material， and the blank group was gavaged with an equal volume of normal saline， and the whole brain of the mice were taken for the preparation of tissue homogenates and frozen sections， respectively. The tissue homogenates were qualitatively analyzed by UPLC-Q-TOF-MS for the brain absorption components in positive and negative ion modes， frozen sections were used for imaging to observe the distribution of these components in the brain. Cytoviva dark-field enhancement microscope was used to perform hyperspectral imaging scanning on the brain sections of mice from each group， and the scattered light data of at least 1 000 pixels in the visible-near-infrared（400-1 000 nm） band in the microscopic field of view were collected and average spectrum were created， which were used to compare the components in the brain tissues of mice from the blank and administration groups. ResultA total of 27 brain absorption components of Tianyuan Zhitong prescription were identified by UPLC-Q-TOF-MS， including 10 organic acids， 5 glycosides， 4 alkaloids， 1 phenol， 4 flavonoids， 2 phthalides and 1 other compound， which were mainly derived from Gastrodiae Rhizoma， Chuanxiong Rhizoma， vinegar-processed Corydalis Rhizoma， Ziziphi Spinosae Semen and processed Morindae Officinalis Radix. A total of 14 components were identified by mass spectrometry imaging， of which ferulic acid， tetrahydropalmatine and N-methyl dehydroberberine were mainly distributed in the cerebral cortex， vitamin B5， vemonoic acid and ricinoleic acid were mainly distributed in the hypothalamus， elemicin， octadecenic acid and octadecanoic acid were mainly distributed in the cortex and hypothalamus， while senkyunolide B， ligustilide， linoleic acid， 9，12-octadecadienoyl ethyl ester and spinosin were distributed in most regions of the brain tissues. Hyperspectral imaging showed that in the visible-near-infrared band range， the average spectrum of the brain tissues of mice in the administration group was significantly red-shifted， indicating that there were differences in the physical properties or contents of the chemical components in the brain between mice in the blank group and those in the administration group， and further verified the results of mass spectrometry imaging. ConclusionThrough the combination of UPLC-Q-TOF-MS and imaging techniques， the pharmacodynamic components of Tianyuan Zhitong prescription in the treatment of headache and the regional characteristics in brain tissue are clarified， which can provide reference for the selection of the index components of the research on the quality standard of this prescription and the research on the mechanism of the pharmacological effect.
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ObjectiveTo investigate the mechanism of anti-pulmonary fibrosis of cannabidiol by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）. MethodSD rats were randomly divided into blank group， model group， prednisone group（3.15 mg·kg-1） and cannabidiol low， medium and high dose groups（12， 36， 108 mg·kg-1）， with 8 rats in each group. The rat model of pulmonary fibrosis was established by intratracheal injection of bleomycin（5 mg·kg-1）， which was administered continuously for 28 days after successful modeling. The pathological changes of rat lung tissue were observed， and enzyme-linked immunosorbent assay（ELISA） was used to detect the expression levels of matrix metalloproteinase-7（MMP-7）， type Ⅱ alveolar cell surface antigen（KL-6）， pulmonary surfactant-associated protein A（SP-A） and SP-D in serum. The expression levels of type Ⅰ collagen（Col-Ⅰ） and fibronectin（FN） in lung tissues were detected by immunohistochemistry， and the expression of mucin 5 subtype AC（MUC5AC） was detected by immunofluorescence. UPLC-Q-TOF-MS was used to search for potential biomarkers and related metabolic pathways of cannabidiol in treating pulmonary fibrosis. ResultCompared with the blank group， there were a large number of inflammatory cell infiltration and continuous fibrosis lesions in the lung tissue of rats in the model group. Compared with the model group， the inflammatory infiltration and blue collagen deposition in the lung tissue of rats in the prednisone and cannabidiol groups were reduced. Compared with the blank group， the expressions of MMP-7， KL-6， SP-A and SP-D in serum of the model group were significantly increased（P<0.01）， while the expressions of MMP-7， KL-6， SP-A and SP-D in the prednisone and cannabidiol high dose groups were significantly decreased by comparing with the model group（P<0.05， P<0.01）. Compared with the blank group， the expression levels of Col-Ⅰ and FN in the lung tissues of the model group were significantly increased， and the fluorescence intensity of MUC5AC was significantly increased（P<0.01）. Compared with the model group， the expression levels of Col-Ⅰ and FN in the lung tissues of the prednisone and cannabidiol high dose groups were significantly decreased（P<0.05， P<0.01）， and the expression of MUC5AC was significantly decreased（P<0.01）. Compared with the blank group， a total of 18 differential compounds were screened out in the model group， which could be used as potential biomarkers， and cannabidiol could call back 16 of them， mainly involving 4 metabolic pathways（linoleic acid metabolism， phenylalanine， tyrosine and tryptophan biosynthesis， arachidonic acid metabolism， and niacin and niacinamide metabolism）. Compared with the blank group， the relative contents of potential biomarkers arachidonic acid and linoleic acid were significantly increased in the model group（P<0.05， P<0.01）， while the relative contents of 5，6-EET， L-tyrosine and niacinamide were significantly decreased（P<0.01）. Compared with the model group， cannabidiol could significantly reduce the relative contents of arachidonic acid and linoleic acid， and significantly increase the relative contents of 5，6-EET， L-tyrosine and niacinamide（P<0.01）. ConclusionCannabidiol has an intervention and remission effect on pulmonary fibrosis， and its mechanism may be related to linoleic acid metabolism， phenylalanine， tyrosine and tryptophan biosynthesis， arachidonic acid metabolism， niacin and niacinamide metabolism.
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Objective To establish a rapid screening method for 34 emerging contaminants in surface water by ultra-high performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS).Methods The pretreatment conditions of solid phase extraction(SPE)were op-timized by orthogonal experimental design and the surface water samples were concentrated and ex-tracted by Oasis? HLB and Oasis? MCX SPE columns in series.The extracts were separated by Kine-tex? EVO C18 column,with gradient elution of 0.1%formic acid aqueous solution and 0.1%formic acid methanol solution.Q-TOF-MS'fullscan'and'targeted MS/MS'modes were used to detect 34 emerging contaminants and to establish a database with 34 emerging contaminants precursor ion,prod-uct ion and retention times.Results The 34 emerging contaminants exhibited good linearity in the con-centration range respectively and the correlation coefficients(r)were higher than 0.97.The limit of de-tection was 0.2-10 ng/L and the recoveries were 81.2%-119.2%.The intra-day precision was 0.78%-18.70%.The method was applied to analyze multiple surface water samples and 6 emerging contaminants were detected,with a concentration range of 1.93-157.71 ng/L.Conclusion The method is simple and rapid for screening various emerging contaminants at the trace level in surface water.
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BACKGROUND:Traumatic spinal cord injury primarily relies on scale assessment and imaging examinations in clinical practice.However,there are limitations in predicting the prognosis of the injury.Therefore,the use of metabolomics technology for biomarker screening is significant for estimating the extent of damage,injury and recovery,as well as developing new therapies. OBJECTIVE:To characterize the metabolic features of patients with traumatic spinal cord injury using metabolomics technology and explore potential biomarkers and disrupted metabolic pathways. METHODS:Serum and urine samples were collected from 20 patients with traumatic spinal cord injury(observation group)and 10 healthy subjects(control group).Metabolites were analyzed and multivariate statistical analysis was then performed for data processing to screen differential metabolites.Metabolic pathway enrichment was performed using MetaboAnalyst software.Logistic regression was applied to construct a biomarker combination model,and its relationship with the American Spinal Injury Association grading was analyzed. RESULTS AND CONCLUSION:Significant differences in 160 and 73 metabolites were detected in the serum and urine samples of the two groups,respectively.Pathway enrichment analysis showed evident disturbances in lipid metabolism after traumatic spinal cord injury,including sphingolipid,arachidonic acid,α-linolenic acid,and arachidonic acid metabolism,as well as glycerophospholipid and inositol phosphate biosynthesis.The combination of two identified biomarkers,telmisartan and quercetin glycoside,showed a correlation with the American Spinal Injury Association grading in both serum and urine levels.Thus,metabolomics technology provides assistance in further understanding the pathological mechanisms of traumatic spinal cord injury and screening therapeutic targets.The identified metabolic biomarker combination may serve as a reference for assessing the severity of traumatic spinal cord injury.
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ObjectiveBased on the quality evaluation experience of "it is better to have a fragrant and strong aroma" summarized by materia medica of past dynasties， the chemical components of Sojae Semen Nigrum（SSN） and Sojae Semen Praeparatum（SSP） were systematically compared and analyzed， and the main fermentation products in different fermentation time were quantitatively analyzed， so as to clarify the transformation law of internal components in the processing process and provide scientific basis for the modern quality control of SSP. MethodUltra performance liquid chromatography-quadrupole tandem time-of-flight mass spectrometry（UPLC-Q-TOF-MS） was used for the structural identification of the chemical constituents of SSN and SSP， and with the aid of Progenesis QI v2.3 software， the negative ion mode was employed for principal component analysis（PCA） pattern recognition， and the data were analyzed with the aid of orthogonal partial least squares-discriminant analysis（OPLS-DA） for two-dimensional data to obtain S-plot， and components with |P|>0.1 were selected as the differential constituents. The contents of isoflavonoids in SSP during fermentation was determined by UPLC， and the samples were taken every 8 h in the pre-fermentation period and every 2 d in the post-fermentation period， and the dynamic changes of isoflavonoid contents in different fermentation stages were analyzed. The contents of amino acids and nucleosides in SSP and SSN from different fermentation stages were quantitatively analyzed by phenyl isothiocyanate（PITC） pre-column derivatization and high performance liquid chromatography（HPLC） gradient elution， and the contribution of flavor substances to the "delicious" taste of SSP was discussed by taste intensity value（TAV）. ResultA total of 19 kinds of differential components were screened out， mainly soybean saponins and isoflavones， and their contents decreased significantly or even disappeared after fermentation. In the pre-fermentation process of SSP， glycoside bond hydrolysis mainly occurred， and isoflavone glycosides in SSN were degraded and converted into the corresponding aglycones， the content of flavor substances such as amino acids increased gradually. In the post-fermentation process， protein degradation mainly occurred， after 8 d of post-fermentation， the content of isoflavones was basically stable， while the total content of amino acids increased by 8-40 times on average. Different amino acids form the special flavor of SSP， such as the TAV of glutamate is always ahead of other flavor substances， and sweet substances such as alanine and valine have made relatively great contributions to SSP. ConclusionBased on the law of constituent transformation， combined with the traditional evaluation index of "fragrant and strong"， it is difficult to control the fermentation degree of SSP by the existing standards in the 2020 edition of Chinese Pharmacopoeia. It is suggested that description of the characteristics of SSP be refined and changed to "fragrant， delicious and slightly sweet"， and at the same time， the post-fermentation index compounds such as glutamic acid， alanine and valine should be added as the quality control indicators of SSP， so as to standardize the production process and improve the quality of SSP.
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ObjectiveTo analyze the antidepressant quality markers（Q-Marker） of Bupleuri Radix（BP） before and after vinegar-processing by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， multivariate statistical analysis and network pharmacology. MethodUPLC-Q-TOF-MS was used to analyze the chemical basis of raw and vinegar-processed products of BP， and principal component analysis（PCA） orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to identify the differential components in BP that changed significantly before and after vinegar-processing， which were regarded as candidate quality markers（Q-Marker）. Then the disease-drug-component-target network related to antidepressant effect of BP was constructed by network pharmacology， and the antidepressant Q-Marker of raw and vinegar-processed products of BP was determined. Rats were randomly divided into blank group， model group， fluoxetine group（2.67 mg·kg-1） and total saponin group（0.72 mg·kg-1）， except the blank group， rats in the other groups were subjected to chronic unpredictable mild stress（CUMS）. Three weeks after the start of modeling， rats in each administration group were given the corresponding dose of drugs once a day for 4 weeks， and rats in the blank and model groups were given normal saline with dose of 10 mL·kg-1. At 1 day before modeling， 21 days and 28 days after administration， body mass weighing， sucrose preference test and open field test were performed on each group . After 28 days of administration， real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） was used to detect the mRNA expression levels of phosphatidylinositol 3-kinase（PI3K）， protein kinase B（Akt）， mammalian target of rapamycin（mTOR）， glycogen synthase kinase-3β（GSK-3β）， forkhead box transcription factor O3a（FoxO3a） and β-catenin in hippocampal tissues of rats in each group， while protein expression levels of PI3K， Akt， mTOR and FoxO3a in hippocampal tissues of rats in each group were detected by Western blot. ResultThere were 19 components in BP showed significant changes before and after vinegar-processing， and 9 components such as saikosaponin A， saikosaponin B1， saikosaponin B2， saikosaponin C and saikosaponin D were identified as potential Q-Marker through S-plot differential marker screening. Combined with the disease-drug-component-target network， saikosaponin A， saikosaponin B1， saikosaponin B2 and saikosaponin D were identified as antidepressant Q-Marker of raw and vinegar-processed products of BP. According to the results of pharmacodynamic tests， after 28 d of administration， compared with the blank group， the body mass， sucrose preference index and open field total score of rats in model group， fluoxetine group and total saponin group decreased significantly（P<0.01）. Compared with the model group， the body mass， sucrose preference index and open field total score in total saponin group increased significantly（P<0.01）. Compared with the blank group， mRNA expression levels of PI3K， Akt， mTOR and β-catenin in hippocampus of rats in the model group decreased significantly（P<0.05）， while mRNA expression levels of GSK-3β and FoxO3a increased significantly（P<0.05）. Compared with the model group， mRNA expression levels of PI3K， Akt， mTOR and β-catenin in hippocampus of rats in the total saponin group were increased significantly（P<0.05）， while mRNA expression levels of GSK-3β and FoxO3a decreased significantly（P<0.05）. Compared with the blank group， the protein expression levels of Akt and mTOR in hippocampus of the model group decreased significantly（P<0.01）， while the protein expression levels of PI3K and FoxO3a increased significantly（P<0.01）. Compared with the model group， the expression level of Akt in hippocampus of the total saponin group increased significantly（P<0.01）， the mTOR expression level was increased but not statistically significant， while the protein expression levels of PI3K and FoxO3a decreased significantly（P<0.01）. ConclusionThe chemical constituents of BP changed greatly after vinegar-processing， and the antidepressant Q-Marker of raw and vinegar-processed products of BP was determined by chemical basis， pharmacodynamics， network pharmacology and signaling pathway， which provided a reference for further research on quality control， pharmacodynamic substance basis and processing mechanism of BP.
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ObjectiveMetabolomics was used to reveal the mechanism of Aconiti Lateralis Radix Praeparata（ALRP） in attenuating toxicity by processing from the aspects of amino acid metabolism， oxidative stress and energy metabolism by analyzing multiple metabolic pathways. MethodTwenty-four rats were randomly divided into control group， raw group and processed group， 8 rats in each group. The raw and processed group were given with 0.64 g·kg-1 of raw ALRP and processed ALRP respectively every day， the control group was given with an equal amount of normal saline once a day. After continuous administration for 7 days， the urine， serum and heart tissue of rats were collected. Pathological examination of the heart was carried out using hematoxylin-eosin（HE） staining， and the activities of lactate dehydrogenase（LDH） and creatine kinase-MB（CK-MB） in serum and cardiac tissues were detected by microplate assay and immunoinhibition assay. The effects of ALRP on rat heart before and after processing were compared and analyzed. Ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS） was used to perform urine metabolomics analysis， and multivariate statistical analysis was used to screen for differential metabolites related to ALRP in attenuating toxicity by processing， and pathway enrichment analysis was carried out to explore the processing mechanism. ResultHE staining showed that no obvious pathological changes were observed in the heart tissue of the control group， while obvious infiltration of inflammatory cells such as plasma cells and granulocytes was observed in the heart tissue of the raw group， indicating that the raw ALRP had strong cardiotoxicity. There was no significant difference in HE staining of heart tissue between the processed group and the control group， indicating that the toxicity of ALRP was significantly reduced after processing. Compared with the control group， the activities of LDH and CK-MB were significantly increased in serum and heart tissue of the raw group， and those were significantly decreased in serum and heart tissue of the processed group， suggesting that the myocardial toxicity of processed ALRP was reduced. A total of 108 endogenous differential metabolites associated with the raw ALRP were screened using multivariate statistical analysis in positive and negative modes， of which 51 differential metabolites were back-regulated by the processed ALRP. Biological analysis of the key regulatory pathways and associated network changes showed that the pathways related to toxicity of ALRP mainly included tryptophan metabolism， arginine and proline metabolism， phenylalanine metabolism， aminoacyl-tRNA biosynthesis， alanine， aspartate and glutamate metabolism， etc. The metabolic pathways related to the attenuation of processed ALRP mainly included aminoacyl-tRNA biosynthesis， tryptophan metabolism， phenylalanine， tyrosine and tryptophan biosynthesis， phenylalanine metabolism and caffeine metabolism. ConclusionThe processing technology of ALRP in Guilingji can significantly attenuate the cardiotoxicity of raw products， the mechanism mainly involves amino acid metabolism， oxidative stress and energy metabolism， which can provide experimental bases for the research related to the mechanism of toxicity reduction of ALRP by processing and its clinical safety applications.
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ObjectiveTo establish a qualitative analysis method for the chemical constituents of the reference sample of Xiao Xumingtang， and to establish the fingerprint of 15 batches of Xiao Xumingtang， so as to evaluate the quality consistency among batches. MethodAccording to the key information of Xiao Xumingtang in the Key Information Table of Ancient Famous Classical Formulas（25 Formulas）， the reference sample of this formula was prepared， and it was detected by ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）. The chemical components were identified by self-constructed database， consulting relevant literature， and comparing with the reference substances， and the components were assigned by comparing with single drug samples and negative samples lacking single drug. The fingerprint of the reference sample of Xiao Xumingtang was established using high performance liquid chromatography（HPLC）， and the common peaks were assigned and identified through single drug samples and negative samples lacking single drug. ResultBased on the information of MS fragments， relevant literature， and database retrieval， a total of 64 compounds were identified and inferred from the reference sample of Xiao Xumingtang， including 31 flavonoids， 8 terpenoids， 12 triterpenoid saponins， 2 phthalides， 3 phenylpropanoids， 2 gingerols， 5 alkaloids， and 1 cyanoside. Among them， 21 were derived from Scutellariae Radix， 10 from stir-fried Glycyrrhizae Radix et Rhizoma， 9 from Ginseng Radix et Rhizoma， 8 from Paeoniae Radix Alba， 4 from Saposhnikoviae Radix， 3 from Stephaniae Tetrandrae Radix， 3 from Chuanxiong Rhizoma， 2 from Aconiti Lateralis Radix Praeparata， 2 from Zingiberis Rhizoma Recens， 1 from Ephedrae Herba， and 1 from Armeniacae Semen Amarum. The established HPLC fingerprint of the reference sample of Xiao Xumingtang had 23 common peaks， among which， peaks 1 and 2 were derived from Paeoniae Radix Alba， peaks 3 and 7 from Saposhnikoviae Radix， peaks 4， 8 and 9 from Stephaniae Tetrandrae Radix， peaks 10， 17， 18， 20 and 21 from stir-fried Glycyrrhizae Radix et Rhizoma， peaks 11-16， 19 and 22 from Scutellariae Radix， peak 5 from Chuanxiong Rhizoma， peak 23 from Zingiberis Rhizoma Recens， peak 6 was the common component of stir-fried Glycyrrhizae Radix et Rhizoma and Scutellariae Radix. A total of 10 compounds including albiflorin（peak 1）， paeoniflorin（peak 2）， cimicifugoside（peak 3）， 5-O-methylvisammioside（peak 7）， baicalin（peak 11）， sec-O-glucosylhamaudol（peak 13）， oroxylin A-7-O-β-D-glucuronide（peak 15）， wogonoside（peak 16）， glycyrrhizic acid（peak 21） and 6-gingerol（peak 23） were identified. The similarities of 15 batches of reference samples were>0.999， indicating that the reference samples had good consistency. ConclusionThrough the identification of the chemical constituents in the reference sample of Xiao Xumingtang， it is clear that the composition of the samples is mainly composed of flavonoids and triterpenoid saponins. The established fingerprint can basically reflect the overall chemical characteristics of the reference sample of Xiao Xumingtang， which can provide a basis for the quality research of its compound preparations.
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ObjectiveTo analyze the migrating components absorbed into blood of the aqueous extract of Euphorbia helioscopia， and to explore the pharmacodynamic material basis of the aqueous extract of E. helioscopia against chronic obstructive pulmonary disease（COPD）. MethodUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） was used to detecte the migrating components absorbed into blood of rats after intragastric administration of aqueous extract of E. helioscopia. An Agilent RRHD SB-C18 column（3 mm×100 mm， 1.8 μm） was used with 0.1% formic acid aqueous solution（A）-acetonitrile（B） as the mobile phase for gradient elution（0-15 min， 5%-30%B； 15-20 min， 30%-50%B； 20-30 min， 50%-95%B； 30-35 min， 95%-5%B）， and the detection wavelength of 190-800 nm， column temperature of 40 ℃， flow rate of 0.3 mL∙min-1 and injection volume of 4 μL. The electrospray ionization（ESI） was used in positive and negative ion modes， and the detection range was m/z 50-1 250. Network pharmacology was used to screen out the key components and the key targets of COPD through the interaction analysis. Metascape database was used to predict the molecular function， biological process， cellular composition and signal pathways mainly involved in the anti-COPD effect of E. helioscopia. Molecular docking technique was used to determine the affinity of key targets with key components. ResultA total of 29 migrating components absorbed into blood of rats were identified after intragastric administration of aqueous extract of E. helioscopia， 9 of which were prototype components and 20 were metabolites. Network pharmacological analysis showed that luteolin， quercetin， apigenin， naringenin and helioscopinolide C were the key components of E. helioscopia against COPD， and vascular endothelial growth factor A（VEGFA）， albumin（ALB）， protein kinase B1（Akt1）， tumor necrosis factor（TNF） and interleukin-6（IL-6） were the key targets. Molecular docking results showed that one diterpene lactone（helioscopinolide C） and three flavonoids（naringenin， luteolin， apigenin） in the migrating components absorbed into blood all had strong binding activity to the key targets of E. helioscopia against COPD. ConclusionNaringenin， helioscopinolide C， luteolin and apigenin may be the main anti-COPD active substances of E. helioscopia.
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ObjectiveTo investigate the relative content changes of differential metabolites and reducing sugars during the processing process of Rehmanniae Radix Praeparata （RRP） processed with Amomi Fructus （AF） and Citri Reticulatae Pericarpium （CRP）， and to lay the foundation for revealing the processing principle of this characteristic variety. MethodThe samples of the 0-54 h processing process of RRP processed with AF and CRP were taken as the research object， and their secondary metabolites were detected by ultra performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS）. The 0.1% formic acid aqueous solution （A）-acetonitrile （B） was used as the mobile phase for gradient elution （0-1 min， 1%-3%B； 1-10 min， 3%-9%B； 10-15 min， 9%-12%B； 15-22 min， 12%-18%B； 22-31 min， 18%-24%B； 31-35 min， 24%-100%B； 35-36 min， 100%-5%B； 36-40 min， 5%-1%B； 40-45 min， 1%B）， column temperature was 40 ℃， injection volume was 3 μL， flow rate was 0.3 mL·min-1. Electrospray ionization （ESI） was used to scan and collect MS data in the negative ion mode， the scanning range was m/z 50-1 250. Data analysis was carried out using PeakView 1.2 software， and the chemical composition of RRP processed with AF and CRP was identified by combining the literature information and chemical composition databases. The MS data were normalized by MarkerView 1.2， and then the multivariate statistical analysis was applied to screen the differential metabolites， and the changes of the relative contents of the differential metabolites with different processing times was analyzed， finally， correlation analysis was performed between the differential metabolites， the change of the reducing sugar content was combined to determine the most suitable processing time of RRP processed with AF and CRP. ResultA total of 121 compounds were identified from RRP processed with AF and CRP at different processing times， and 12 differential metabolites were screened out by multivariate statistical analysis， including catalpol， hesperidin， isoacteoside， acteoside， narirutin， echinacoside， isomartynoside， decaffeoylacteoside， 6-O-E-feruloylajugol， dihydroxy-7-O-neohesperidin， jionoside D， and rehmapicroside. With the prolongation of processing time， the relative contents of these 12 differential metabolites and reducing sugars changed slightly at 52-54 h. ConclusionUPLC-Q-TOF-MS can comprehensively and accurately identify the chemical constituents of RRP processed with AF and CRP at different processing times， and the suitable processing time of 52-54 h is determined according to the content changes of different metabolites and reducing sugars， which provides a basis for revealing the scientific connotation of the processing principle of this variety.
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ObjectiveA rapid method for identification of chemical constituents in Puerariae Lobatae Radix dispensing granules was established in order to clarify the material basis. MethodThe chemical constituents of Puerariae Lobatae Radix dispensing granules was qualitatively analyzed by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） under positive and negative ion modes， and the chromatographic conditions were on an ACQUITY UPLC HSS T3 column（2.1 mm×100 mm， 1.8 μm） with 0.1% formic acid aqueous solution（A）-0.1% formic acid acetonitrile solution（B） as mobile phase for gradient elution（0-4 min， 5%-10%B； 4-10 min， 10%-15%B； 10-20 min， 15%-16%B； 20-27 min， 16%-31%B； 27-33 min， 31%-59%B； 33-42 min， 59%-95%B； 42-42.1 min， 95%-5%B； 42.1-45 min， 5%B）， the flow rate was 0.35 mL·min-1， the column temperature was 40 ℃， the injection volume was 5 μL， and electrospray ionization（ESI） was selected. Then these chemical constituents were comprehensively identified based on PeakView 1.2， PubChem， ChemicalBook， ChemSpider， comparative control profiles and literature information. ResultA total of 128 chemical constituents were identified from the dispensing granules， including 60 flavonoids， 26 organic acids， 7 glycosides， 6 coumarins， 3 nucleosides and 26 other compounds. By focusing on the cleavage patterns of flavonoids， organic acids， glycosides， coumarins， nucleosides and other compounds， 12 compounds that have not been reported in Puerariae Lobatae Radix species were identified from the dispensing granules. ConclusionThe established method can systematically and rapidly identify the chemical constituents in Puerariae Lobatae Radix dispensing granules， and cleared it composition is mainly flavonoids and organic acids. Laying a foundation for the study of the material basis， mechanism of action and clinical application of the dispensing granules.
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This study was designed to comprehensively characterize and identify the chemical components in traditional Chinese medicine Psoraleae Fructus by establishing an ultra-high performance liquid chromatography/quadrupole time-of-flight mass spectrometry(UHPLC-Q-TOF-MS) method in combination with in-house library. The chromatographic separation conditions(stationary phase, column temperature, mobile phase, and elution gradient) and key MS monitoring parameters(capillary voltage, nozzle voltage, and fragmentor) were sequentially optimized via single-factor experiments. A BEH C_(18) column(2.1 mm×100 mm, 1.7 μm) was finally adopted, with the mobile phase consisting of 0.1% formic acid in water(A) and acetonitrile(B) at the flow rate of 0.4 mL·min~(-1) and column temperature of 30 ℃. Auto MS/MS was utilized for data acquisition in both positive and negative ion modes. By comparison with reference compounds, analysis of the MS~2 fragments, in-house library retrieval and literature research, 83 compounds were identified or tentatively characterized from Psoraleae Fructus, including 58 flavonoids, 11 coumarins, 4 terpenoid phenols, and 10 others. Sixteen of them were identified by comparison with reference compounds, and ten compounds may have not been reported from Psoraleae Fructus. This study achieved a rapid qualitative analysis on the chemical components in Psoraleae Fructus, which provided useful reference for elucidating its material basis and promoting the quality control.
Subject(s)
Chromatography, High Pressure Liquid , Medicine, Chinese Traditional , Tandem Mass Spectrometry , Cell Cycle , CoumarinsABSTRACT
ObjectiveBased on serum pharmacochemistry and ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS） the transitional components in the serum of rats after intragastric administration of water extract of Alismatis Rhizoma（AR）and salt-processed Alismatis Rhizoma（SAR） were compared. MethodSD rats were randomly divided into blank group, AR group（10 g·kg-1） and SAR group（10 g·kg-1）, 3 rats in each group, the administration groups were given AR and SAR aqueous extracts by gavage, respectively, and the blank group was given an equal volume of drinking water by gavage once in the morning and once in the evening, for 3 consecutive days. Sixty minutes after the last administration, blood was collected from the eye orbits, and the serum samples were prepared. The serum samples were prepared on an ACQUITY UPLC BEH C18 column（2.1 mm×50 mm, 1.7 μm） with the mobile phase of acetonitrile（A）-0.1% formic acid aqueous solution（B） in a gradient elution（0-10 min, 10%-50% A; 10-27 min, 50%-95%A; 27-27.1 min, 95%-10% A; 27.1-30 min, 10%A）, the data were collected at a flow rate of 0.3 mL·min-1 in positive ion mode with a scanning range of m/z 100-1 200. Based on the self-constructed chemical composition library of AR, the total ion flow diagrams and secondary MS fragmentation information of the aqueous extracts of AR and SAR, as well as the administered serum and the blank serum, were compared with each other by UNIFI 1.9.2, so as to deduce the possible blood-migrating constituents and their cleavage patterns in the aqueous extracts, and the response intensity ratios of each chemical component were calculated before and after processing. ResultA total of 20 components, including 5 prototypical components and 15 metabolites, were analyzed and deduced from the serum of rats given aqueous extract of AR. And 14 components, including 5 prototypical components and 9 metabolites, were analyzed and deduced from the serum of rats given aqueous extract of SAR. Of these, 13 components were common to both of them, including 5 prototypical components and 8 metabolites. The 5 prototypical components were 16-oxoalisol A, alisol A 24-acetate, alisol A, alisol B and alisol C. The metabolites were mainly involved in phase Ⅰ metabolism（oxidation） and phase Ⅱ metabolism（glucuronidation）. There was a big change in the intensity of response of the common components before and after salt-processing, and the response intensities of the prototypical components, 16-oxoalisol A, alisol B and alisol C, were elevated, while the type and response intensity of metabolites were generally decreased, and it was hypothesized that the metabolic rate of terpenoids might be slowed down after salt-processing of AR, so that the blood-migrating constituents could participate in the metabolism of the body more in the form of prototypes. ConclusionSalt-processing of AR may promote the absorption of prototypical components into the blood by slowing down the metabolic rate of terpenoids, which can provide support for the research on material basis of AR and SAR.
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ObjectiveTo explore the material basis of bile-processed Coptidis Rhizoma clearing excessive fire of liver-gallbladder based on ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF/MS） metabolomics and molecular docking. MethodUPLC-Q-TOF/MS metabolomics was used to analyze the chemical constituents of Coptidis Rhizoma， water-processed Coptidis Rhizoma and bile-processed Coptidis Rhizoma. Chromatographic separation was achieved with 0.1% formic acid aqueous solution（A）-acetonitrile（B） as the mobile phase in gradient elution（0-2 min， 5%B； 2-20 min， 5%-65%B； 20-40 min， 65%-10%B； 40-45 min， 10%B； 45-46 min， 10%-95%B； 46-49 min， 95%B）， and electrospray ionization（ESI） was applied and operated in positive and negative ion modes， the acquisition range was m/z 80-1 200. Based on this， partial least squares-discriminant analysis（PLS-DA） and variance analysis were used to screen the differential compounds among the three products of Coptidis Rhizoma. Network pharmacology and molecular docking were used to verify the degree of association between differential compounds and excessive fire of liver-gallbladder syndrome. ResultA total of 33 chemical constituents were identified， including 2 phenolic acids， 5 binding bile acids and 26 alkaloids. And 16 differential compounds were identified by multivariate statistical analysis， including 11 alkaloids and 5 binding bile acids. Pathway enrichment analysis in the Kyoto Encyclopedia of Genes and Genomes（KEGG） database yielded 8 pathways related to excessive fire of liver-gallbladder， and the key protein phosphatidylinositol 4，5-bisphosphate 3-kinase catalytic subunit alpha isoform（PIK3CA） was obtained according to the "component-target-pathway" network analysis. Molecular docking results showed that 11 alkaloids had good binding ability with PIK3CA. ConclusionPorcine bile is unique in the processing of bile-processed Coptidis Rhizoma， which can promote the production and dissolution of 11 alkaloids， including berberine and dihydrochelerythrine. Based on the results of molecular docking and reported pharmacological experiments， it can be concluded that 16 different compounds such as berberine， dihydrochelerythrine and taurohyodeoxycholic acid are the material basis of bile-processed Coptidis Rhizoma.
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ObjectiveTo develop a quality control method for the simultaneous determination of multiple active components in Nymphaeae Flos aiming at the problems of the single index for quality control and the relatively low overall quality control level. MethodUltra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）was used to identify and select the index components for quality control with the mobile phase of 0.1% formic acid aqueous solution（A）-acetonitrile（B）for gradient elution （0-2 min， 3%-8%B； 2-4 min， 8%-10%B； 4-13 min， 10%-15%B； 13-19 min， 15%-20%B； 19-26 min， 20%-45%B） at a flow rate of 0.4 mL·min-1， detection wavelength of 350 nm， electrospray ionization（ESI）， negative ion scanning mode， ion source temperature of 120 ℃， scanning range of m/z 100-1 200， transmit collision energy of 6 eV for low-energy scanning and 25-50 eV for high-energy scanning. High performance liquid chromatography（HPLC）was used to establish the quality control method for the simultaneous determination of multi-index components with the mobile phase of 0.2% phosphoric acid aqueous solution（A）-acetonitrile（B） for gradient elution（0-30 min， 12%-15%B； 30-60 min， 15%-22%B； 60-90 min， 22%-40%B）and detection wavelength of 350 nm. The preparation method of the test solution for content determination was refluxing extraction for 60 min with 80 times the amount of 70% methanol. ResultBy comparing the retention time， ultraviolet absorption characteristics， MS and MS/MS spectrometric signals in the samples with the reference substances， 8 active components with high contents， including brevifolincarboxylic acid， ellagic acid， rutin， nicotiflorin， astragalin， quercetin， quercetin-3-methylether and kaempferol， were identified qualitatively from Nymphaeae Flos， which were selected as the index components for quality control. Under the established HPLC conditions， the above 8 components could be well separated（resolution>1.5）， and showed good linearity（r=0.999 9）between the concentration ranges of 1.99-99.6， 1.76-176， 1.52-75.8， 3.60-180， 0.964-96.4， 1.18-118， 1.94-96.8， 1.04-104 mg·L-1 and the peak areas， respectively. The detection limits of them were 10-49 μg·L-1， and the limits of quantitation were 34-164 μg·L-1. The average recoveries were 97.12%-103.1% with the relative standard deviations （RSDs） were 1.1%-2.2%. ConclusionA quality control method for simultaneous determination of the multiple active components in Nymphaeae Flos have been developed， which is simple， accurate and reproducible， and it can provide a scientific basis for the formulation of quality standard of this herb and lay a research foundation for the transformation of Uygur hospital preparations containing Nymphaeae Flos into new drugs.
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ObjectiveTaking the rat model of spleen-stomach damp-heat syndrome（SSDHS） as the research object， this study aimed to investigate the potential biomarkers of SSDHS and the related metabolic pathways based on urine metabolomics， and tried to reveal the essence of SSDHS at the level of endogenous small molecular metabolites. MethodSixteen SD rats were randomly divided into normal and model groups. The normal group was fed normal chow and the model group was fed with 200 g·L-1 honey water daily， and lard and Chinese Baijiu alternately on alternate days for 17 days. The SSDHS model rats were exposed to external dampness-heat environment with temperature at 30-34 ℃， relative humidity of 95% for 2 h at the same time every day from the 10th day for 7 d. Then， the model was evaluated by observing the general conditions of the rats， measuring the contents of motilin（MTL） and gastrin（GT） in plasma by enzyme-linked immunosorbent assay（ELISA）， and examining the histopathology of gastronitestinal tissues. In additon， the urine metabolomics analysis was performed by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， and the detection conditions was as follows：ACQUITY™ UPLC BEH C18 column（2.1 mm×100 mm， 1.7 μm）， mobile phase of 0.1% formic acid aqueous solution（A）-0.1% formic acid acetonitrile solution（B） for gradient elution （0-3 min， 1%-18%B； 3-8 min， 18%-40%B； 8-10 min， 40%-100%B）， the flow rate of 0.4 mL·min-1， electrospray ionization（ESI） in positive and negative ion modes， scanning range of m/z 50-1 000. The univariate and multivariate statistical analysis were constructed for screening inter-group differential ions， the element composition was calculated according to the precise relative molecular weight， and ion information was matched with databases such as Human Metabolome Database（HMDB） to identify biomarkers. Kyoto Encyclopedia of Genes and Genomes（KEGG） database was used to obtain the biological information of metabolites， and their associated metabolic pathways were analyzed by MetaboAnalyst 5.0. ResultCompared with the normal group， the rectal temperature of the model group increased significantly（P<0.01）， the levels of plasma MTL and GT decreased significantly（P<0.05， P<0.01）， and pathological changes such as bleeding， congestion and inflammatory infiltration in the gastric and colonic tissues. A total of 25 differential metabolites such as L-histidine， citric acid and isocitric acid were found to be the potential biomarker of SSDHS by urine metabolomics， 13 of which were phase Ⅱ metabolites of endogenous substances（glucuronic acid conjugates， sulfuric acid conjugates and acetyl conjugates）， involving the metabolic pathways of histidine metabolism， tricarboxylic acid cycle， glyoxylate and dicarboxylate metabolism. ConclusionSSDHS primarily causes disorders of histidine metabolism， tricarboxylic acid cycle， glyoxylate and dicarboxylate metabolism， as well as the imbalance of the activation/inactivation of endogenous metabolites， which may involve the immune response， material and energy metabolism， inflammatory response and intestinal flora， and may provide a basis for the establishment and application of SSDHS model.
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Objective To establish a method for rapid screening and quantifying the illegal addition of metolazone in tablet candy by ultra-high performance liquid chromatography-quadrupole-time of flight mass spectrometry(UPLC-Q-TOF/MS).Methods The component in samples was extracted with acetonitrile,then purified by Captiva EMR-Lipid purification column,detected by UPLC-Q-TOF/MS with Agilent RRHD Eclipse Plus C18 chromatographic column(100 mm×2.1 mm,1.8μm)under Targeted MS/MS mode.Results The linear regression analysis data for the calibration plots showed a good linear relationship over the concentration range of 50-1 000 ng·mL-1 for metolazone(r=0.999 0);the value of detection limit and quantification limit was found to be 1.0 μg.g1 and 2.5 μg·g-1.The average recovery rate was 98.15％(RSD=2.2％,n=18).Conclusion The method had the advantages of simple operation,qualitative and quantitative accuracy.It could be applied to daily inspection.
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ObjectiveBased on ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MSE） technique， we identified qualitatively the metabolites of aristolochic acid（AAs） in rat in order to analyze the metabolic differences between water extract of Aristolochiae fructus（AFE） and Aristolochic acid Ⅰ（AAⅠ）. MethodSD rats were selected and administered AFE（110 g·kg-1·d-1） or AAⅠ（5 mg·kg-1·d-1） by oral for 5 days， respectively. Serum， urine and feces were collected after administration. Through sample pretreatment， ACQUITY UPLC BEH C18 column（2.1 mm×100 mm， 1.7 μm） was used with the mobile phase of 0.01% formic acid methanol（A）-0.01% formic acid water（B， containing 5 mmol·L-1 ammonium acetate） for gradient elution（0-1 min， 10%B； 1-7 min， 10%-75%B； 7-7.2 min， 75%-95%B； 7.2-10.2 min， 95%B； 10.2-10.3 min， 95%-10%B； 10.3-12 min， 10%B） at a flow rate of 0.3 mL·min-1. Positive ion mode of electrospray ionization（ESI+） was performed in the scanning range of m/z 100-1 200. In combination with UNIFI 1.9.4.053 system， the Pathway-MSE was used to qualitatively analyze and identify the AAs prototype and related metabolites in biological samples（serum， urine and feces）， and to compare the similarities and differences of metabolites in rats in the subacute toxicity test between AFE group and AAⅠ group. ResultCompared with AAⅠ group， 6， 10， 13 common metabolites and 14， 20， 30 unique metabolites were identified in biological samples（serum， urine and feces） of AFE group， respectively. Moreover， the main AAs components always followed the metabolic processes of demethylation， nitrate reduction and conjugation. Compared with common metabolites in AAⅠ group， prototype components of AAⅠ in serum and most metabolic derivatives of AAⅠ［AAⅠa， aristolochic lactam Ⅰ（ALⅠ）a， 7-OHALⅠ and its conjugated derivatives］ in biological samples were significantly increased in AFE group（P<0.05， P<0.01）， except that the metabolic amount of ALⅠ in feces of AFE group was remarkably lowed than that of AAⅠ group（P<0.01）. In addition， a variety of special ALⅠ efflux derivatives were also identified in the urine and feces of the AFE group. ConclusionAlthough major AAs components in AFE all show similar metabolic rules as AAⅠ components in vivo， the coexistence of multiple AAs components in Aristolochiae Fructus may affect the metabolism of AAⅠ， and achieve the attenuating effect by increasing the metabolic effection of AAⅠ and ALⅠ.